NVIDIA has been reinventing computer graphics, PC gaming, and accelerated computing for 30 years. It is a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, generative AI, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work We are seeking a highly skilled Senior Staff Infrastructure Performance Engineer to join our dynamic team. Our company is at the forefront of technological innovation, and we are dedicated to driving efficiency and optimizing the performance of our infrastructure both on-prem and cloud. Join us in this exciting endeavor! What you will be doing:
Lead initiatives to drive efficiency efforts across the organization.
Define and implement metrics to measure the efficiency of compute and storage services.
Spearhead program aimed at improving CPU and memory utilization within our compute fleet.
Develop and maintain tools for collecting, analyzing, and visualizing utilization data.
Build a fleet-wide aggregated profiling infrastructure for services to enhance performance monitoring and optimization.
What we need to see:
Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field, or equivalent work experience.
12+ years of proven experience in performance engineering with a focus on efficiency and resource optimization.
Strong analytical skills with the ability to define and track key performance metrics.
Experience in developing tools for data analysis and performance profiling.
Proficiency in programming languages such as Go and/or Java.
Familiarity with performance testing and analysis tools such as JMeter and Linux-based monitoring tools.
Ways to stand out from the crowd:
Understanding of AI ops and how to leverage LLMs to automate various optimization initiatives
Ability to work with large datasets and perform complex queries (Python, R, SQL)
Strong communication skills and the ability to convey insights from quantitative data effectively
Experience with automated data visualization tools like Power BI or Tableau is preferred
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 192,000 USD - 368,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits (https://www.nvidia.com/en-us/benefits/) . NVIDIA accepts applications on an ongoing basis. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA .